- SKU ANALYSIS
- TREND SPOTTING
- HUMAN REVIEW
- REPORTING
Short answer
How can I track my product ratings using AI?
Your AI uses Fera.ai to pull rating data for every SKU in your catalog. It identifies which products are winning or losing based on customer feedback. You'll see exactly where your catalog stands.
Where your data lands.
Catalog performance outcomes.
The AI processes your catalog data into these specific results.
SKU ANALYSIS
Catalog health checks
The AI scans your entire list of products to find rating outliers. You get a clear view of which items are performing well.
TREND SPOTTING
Identify falling stars
Your agent flags products where ratings are dropping. This lets you catch quality issues before they scale.
HUMAN REVIEW
Flag for manual check
When the AI finds a sudden rating dip, it marks those SKUs for you to investigate personally. You decide how to handle the feedback.
REPORTING
Aggregated summaries
The AI groups ratings by category or brand. You get a high-level look at how different product lines are doing.
The workflow
What your AI does when the data arrives.
The AI handles the heavy lifting of scanning your catalog and pulling specific metrics.
Catalog scan
The AI first identifies every product currently in your store.
list_productsRating retrieval
It pulls the specific rating score for each individual SKU found in the scan.
get_product_ratingPattern recognition
The agent compares these scores to find products with unusually low or high feedback.
get_product_ratingSummary generation
The AI organizes the findings into a readable format for your review.
list_products
Try it
Copy these to start.
Use these prompts to kick off your monitoring.
Starting points
These are basic ways to start. Swap out the product names or categories to match your actual catalog.
Fera.ai Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Fera.ai capabilities are ready to use.
{
"mcpServers": {
"feraai-mcp": {
"url": "https://edge.vinkius.com/vk_preview_O9WGsLTmhMYKyvfttyhkSaIujGYouxJ0SUHyQ0KV/mcp"
}
}
}List all my products and tell me which ones have a rating below 4.0.
Check the ratings for the 'Summer Collection' items and summarize the feedback.
Find the top three highest rated SKUs in my entire catalog.
Are there any products in my store that have seen a recent drop in ratings?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Fera.ai once, then ask.
Just follow the link to authorize the connection. Your credentials stay encrypted, and you can start chatting with your data immediately.
Connect Fera.ai to your AIFAQ
How this task behaves.
- 01
Can the AI change my product ratings?
No. The AI can only read and report on existing ratings. It cannot edit or delete any data in your store.
- 02
Does the AI automatically respond to bad reviews?
No. The AI identifies the bad reviews for you, but you must write and send the responses yourself.
- 03
Can I monitor specific brands?
Yes, as long as those brands are part of the product list the AI can access.
- 04
How does the AI know which products to check?
It uses the product list provided by the connector to identify every SKU in your catalog.
- 05
Can the AI delete products with low ratings?
No. The AI has no capability to delete or modify products in your catalog.
More questions about Fera.ai? See everything the Fera.ai Connector can do
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